Strategic advice & alerts to leverage data analytics & new technologies

Leverage data and the technologies that generate it, from ML, IA, NLP, blockchain, IoT, and emerging tech; to data science, data visualization, predictive modeling; to data quality, data governance, and data architecture.

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In Part III of this Executive Update series, we show how the four dimensions of information superiority (reach, richness, agility, and assurance) impact building an effective roadmap toward creating a data-driven business.
This Advisor discusses how data doesn't really "go" bad, but the use to which it was put was dramatically changed and that new use drove the collection of even more categories and volumes of personal behavior data, without a comprehensive ethical review. In this series, we’ll point out what can go wrong with data — and what to do about it.
Cutter Consortium conducted a survey, along with a set of interviews of participants, from mid-2020 to early 2021 on how organizations are adopting, or planning to adopt, intelligent process automation (IPA). We also sought to identify important trends, issues, and other considerations organizations are encountering, or foresee encountering, in their efforts. Here in Part III of this Executive Update series, we examine findings pertaining to surveyed organizations’ plans for establishing budgets to support their IPA initiatives.
This Executive Update seeks to help IT better advocate for cloud. First, we offer a solution to cloud’s most significant financial risk. Next, we translate some IT concepts into their financial equivalents.
Łukasz Paciorkowski and Piotr Karolczak present a digital twin maturity model that can help organizations make better decisions around the structure of digital twins applied to industrial applications. The model presents several capabilities that organizations can explore across several maturity levels.
Jacqueline Corbett, Adnène Hajji, and Sehl Mellouli discuss how digital twins can promote smart, agile, sustainable cities. First, the authors present the concept of organizational agility and the ways it promotes organizational success. Then, they explain how digital twin dimensions and capabilities support and contribute to organizational agility. The authors also present some examples and conclude with recom­mendations for cities in their consideration for the use of digital twins.
Jon Geater investigates the relationship of security and trustworthiness to digital twins. He looks at the possible security impact of the analog world on the digital world and how to address it. His application of the “nature versus nurture” analogy to digital twins is compelling. Geater discusses several security-related topics that organizations should consider, and he ends with a look at how to address digital twin security as we move forward.
Madison White explores how digital transformation in the transportation industry is being combined with automotive digital twins to produce the next generation of autonomous vehicles. She looks at the challenges facing production-scale deployment of digital twins, including digital twin accuracy, connec­tivity, data accuracy, interoperability/standardization, and trust/security. She concludes with the cost benefits of developing a vehicle using digital twins, including predicting maintenance, and thus lowering cost of ownership during the lifetime of a vehicle, and cleaner air.